The effect of green supply chain on the export performance of the Jordanian pharmaceutical industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research came to examine the influence of green supply chain practices on export performance. The research population consists of the decision-makers in pharmaceutical companies in Jordan. The Jordanian pharmaceutical industry is considered one of the oldest industrial sectors in the Arab region. Accordingly, the research took a purposive sampling method to collect primary data. The questionnaire was designed electronically via Google Forms and distributed to the study sample via e-mail. Data were analyzed using covariance-based structural equation modeling (CB-SEM) by version 24 of AMOS software. The study results showed that green supply chain dimensions have influenced export performance of the pharmaceutical industry in Jordan. Based on the study results, the researchers recommend managers and decision makers of the pharmaceutical organizations to create a policy outlining the organization's commitment to sustainability and outlining its aims and objectives for decreasing its environmental effect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it